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Institute of Genome Research, Vietnam Academy of Science and Technology

Anh Tuan Vu

General Department of Logistics - Techniques

Phuong Nhung Vu

Institute of Genome Research, Vietnam Academy of Science and Technology

Quang Cu Pham

General Department of Logistics - Techniques

Dang Ton Nguyen

Institute of Genome Research, Vietnam Academy of Science and Technology; Graduate University of Science and Technology, Vietnam Academy of Science and Technology

Thi Thu Hue Huynh

Institute of Genome Research, Vietnam Academy of Science and Technology; Graduate University of Science and Technology, Vietnam Academy of Science and Technology

Abstract

Huyen-sam (Vietnamese name) which belongs to Scrophularia L. genus is a valuable herb. This medicinal plant is classified as Scrophularia ningpoensis Hemsl. Huyen-sam roots, which contain a large amount of bioactive compounds, have a similar morphology to its relatives. DNA barcodes promise to be a precise and reliable tool for distinguishing the processed Huyen-sam materials from their counterfeits. However, studies about using DNA barcodes for classification of Scrophularia L. in Vietnam are not available. Here, we conducted a taxonomic analysis of eight Scrophularia L. samples collected from the mountain areas of Northern Vietnam. Based on the combined sequence data of ribosomal nuclear ITS, a part of chloroplast rbcL gene and trnL-trnF intergenic spacer, phylograms of Scrophularia L. were generated by both Bayesian inference and maximum likelihood bootstrap method. The phylogenetic analysis showed that the tested samples have a sister relationship to S. ningpoensis. Hopefully, the analysis strategy that we used would contribute to further phylogenetic analyses of medicinal plants of Vietnam in the future.

VJSTE is the official scientific outlet of the Ministry of Science and Technology, Vietnam, founded in 1959 and has been one of the prestigious scientific journals in Vietnam. VJSTE aims to become an international journal which meets the standards of the world leading databases of science journals such as Scopus, Web of Science, etc.